Assistant Professorship (non-tenure track) in Clinical Cancer Informatics Werner and Hedy Berger-Janser Foundation Endowed Professorship
Core
Lead research in clinical cancer informatics, integrating clinical data with AI and precision oncology to generate patient-centered insights.
Role type
Assistant Professor (non-tenure track) in Clinical Cancer Informatics
Builds
AI-based decision-support tools for radiation and medical oncology; harmonized clinical data standards
Domain
Healthcare / Oncology / Clinical Informatics / Artificial Intelligence
Deliverable
production ML models | research
Required skills
Clinical informatics, data interoperability, standardization, data science, AI in healthcare, real-world data analysis, team leadership
Preferred skills
Translational research, interdisciplinary collaboration, third-party funding acquisition
Technologies
Clinical data platforms, AI frameworks, interoperability standards
Responsibilities
Develop and lead innovative research programs; integrate heterogeneous clinical data sources; contribute to AI decision-support tool development; supervise early-career researchers; participate in strategic digital medicine development
Seniority
Senior, hands-on IC with research leadership
